1.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.07
## LDevsum       1.45       2.35
## dh0           1.09       1.31
## dh1           1.09       1.32
## dl0           7.54      16.72
## dl1           1.30       1.93
## dl2           6.79      15.95
## dl3           3.69       7.88
## 
## Multivariate psrf
## 
## 4.97

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 300,000 iteration;
  
• 200,000 burn-in;
  
• 100 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum      0.999       1.00
## LDevsum      1.001       1.01
## dh0          1.022       1.10
## dh1          1.028       1.12
## dl0          1.651       3.04
## dl1          1.401       2.27
## dl2          1.257       1.95
## dl3          1.446       2.33
## 
## Multivariate psrf
## 
## 1.47

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results